Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks on Azure Cloud services, DevOps, and CI/CD tools, along with a solid understanding of AI/ML techniques and big data processing frameworks like Apache Spark and PySpark.

Responsibilities

• Adhere to coding and Numerator technology standards
• Build suitable automation test suites within Azure DevOps
• Maintain and update automation test suites as required
• Carry out manual testing, load testing, exploratory testing as required
• Work closely with Business Analysts and Senior Data Developers to consistently achieve sprint goals
• Assist in estimation of sprint-by-sprint stories and tasks
• Pro-actively take a responsible approach to product delivery

Requirements

• 7-10 years of experience in data engineering roles
• Good Python skills
• Experience working with Microsoft Azure Cloud
• Experience in Agile methodologies (Scrum/Kanban)
• Experience with Apache Spark, PySpark, Databricks
• Experience working with Devops pipeline, preferably Azure DevOps

Preferred Qualifications

• Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field.
• Experience working in a support focused role
• Knowledge/experience in AI ML techniques
• Certification in relevant Data Engineering discipline or related fields.